The work presented in this document contains analysis of commute mode, with a focus on transit ridership, in relation to auto ownership and geography. The analysis includes 2021 data and utilizes PSRC’s R package, psrc.travelsurvey.
Filtering out children and those who do not commute
Using ‘commute_mode’ defined as: ‘Usual way of commuting to current
location/office’
survey logic: if workplace = fixed/varied/telework some
days
Workplace options:
##
## 2017
## Airplane or helicopter 8
## Bicycle or e-bike 156
## Bus (public transit) 842
## Carpool ONLY with other household members 187
## Carpool with other people not in household (may also include household members) 70
## Commuter rail (Sounder, Amtrak) 13
## Drive alone 1728
## Ferry or water taxi 6
## Motorcycle/moped 0
## Motorcycle/moped/scooter 12
## Other (e.g. skateboard) 2
## Other hired service (Uber, Lyft, or other smartphone-app car service) 10
## Paratransit 1
## Private bus or shuttle 22
## Scooter or e-scooter (e.g., Lime, Bird, Razor) 0
## Streetcar 3
## Taxi (e.g., Yellow Cab) 1
## Urban rail (Link light rail, monorail) 95
## Urban rail (Link light rail, monorail, streetcar) 0
## Vanpool 28
## Walk, jog, or wheelchair 286
##
## 2017_2019
## Airplane or helicopter 14
## Bicycle or e-bike 322
## Bus (public transit) 1600
## Carpool ONLY with other household members 337
## Carpool with other people not in household (may also include household members) 132
## Commuter rail (Sounder, Amtrak) 48
## Drive alone 3169
## Ferry or water taxi 32
## Motorcycle/moped 12
## Motorcycle/moped/scooter 12
## Other (e.g. skateboard) 2
## Other hired service (Uber, Lyft, or other smartphone-app car service) 34
## Paratransit 1
## Private bus or shuttle 54
## Scooter or e-scooter (e.g., Lime, Bird, Razor) 3
## Streetcar 8
## Taxi (e.g., Yellow Cab) 1
## Urban rail (Link light rail, monorail) 224
## Urban rail (Link light rail, monorail, streetcar) 0
## Vanpool 54
## Walk, jog, or wheelchair 647
##
## 2019
## Airplane or helicopter 6
## Bicycle or e-bike 166
## Bus (public transit) 758
## Carpool ONLY with other household members 150
## Carpool with other people not in household (may also include household members) 62
## Commuter rail (Sounder, Amtrak) 35
## Drive alone 1441
## Ferry or water taxi 26
## Motorcycle/moped 12
## Motorcycle/moped/scooter 0
## Other (e.g. skateboard) 0
## Other hired service (Uber, Lyft, or other smartphone-app car service) 24
## Paratransit 0
## Private bus or shuttle 32
## Scooter or e-scooter (e.g., Lime, Bird, Razor) 3
## Streetcar 5
## Taxi (e.g., Yellow Cab) 0
## Urban rail (Link light rail, monorail) 129
## Urban rail (Link light rail, monorail, streetcar) 0
## Vanpool 26
## Walk, jog, or wheelchair 361
##
## 2021
## Airplane or helicopter 1
## Bicycle or e-bike 29
## Bus (public transit) 118
## Carpool ONLY with other household members 86
## Carpool with other people not in household (may also include household members) 36
## Commuter rail (Sounder, Amtrak) 4
## Drive alone 1128
## Ferry or water taxi 8
## Motorcycle/moped 0
## Motorcycle/moped/scooter 7
## Other (e.g. skateboard) 0
## Other hired service (Uber, Lyft, or other smartphone-app car service) 4
## Paratransit 2
## Private bus or shuttle 1
## Scooter or e-scooter (e.g., Lime, Bird, Razor) 5
## Streetcar 0
## Taxi (e.g., Yellow Cab) 0
## Urban rail (Link light rail, monorail) 0
## Urban rail (Link light rail, monorail, streetcar) 12
## Vanpool 2
## Walk, jog, or wheelchair 43
When the commute modes are simplified:
##
## 2017 2017_2019 2019 2021
## 1-Active transit/micro mobility 454 996 542 84
## 2-Public Transit 960 1913 953 144
## 3-Drive alone 1728 3169 1441 1128
## 4-HOV modes 296 558 262 128
## 5-Other modes 32 70 38 2
HOV-modes are categorized based on the number of individuals in the vehicle:
To look at numbers more closely
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This analysis is based on the final_home_is_rgc variable.
To look at numbers more closely
The following research will be focused on those who reported commuting to work and who don’t own any hosehold vehicles.
survey logic: vehicle_count==“0 (no vehicles)”
To look at numbers more closely
To look at numbers more closely
To look at numbers more closely
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There are different ways to quantify vehicle ownership
Because we’re interested in commute modes, we will be focusing on the number of workers within a household.
The variables used to calculate this variable are:
##
## 2017 2017_2019 2019 2021
## 0 (no vehicles) 400 873 473 105
## 1 vehicle 1548 2972 1424 453
## 2 vehicles 1191 2184 993 565
## 3 vehicles 235 470 235 253
## 4 vehicles 66 139 73 81
## 5 vehicles 21 51 30 14
## 6 vehicles 3 8 5 10
## 7 vehicles 0 2 2 3
## 8+ vehicles 6 7 1 2
##
## 2017 2017_2019 2019 2021
## 1 1414 2643 1229 564
## 2 1856 3669 1813 735
## 3 160 316 156 121
## 4 37 61 24 55
## 5 3 17 14 10
## 6 0 0 0 1
For households with more vehicles than workers, the difference between
Black or African American and all other racial groups is larger in
2017/19 (especially compared to White only). In 2021, the MOEs overlap
more with Black or African American, except for the White only
individuals. In 2021 White only households decreased in this category
and increased in the one vehicle per worker households.
Non-POC households reported more vehicles than workers in 2017/19
compared to POC, but in 2021, the difference is smaller with overlapping
MOEs. It’s difficult to determine any other differences over time
because of MOEs. The trends and differences between groups seem
relatively consistent over time. The trend for one-vehicle per worker
households appears to shift between time periods, but the MOEs make it
difficult to determine.
In 2021, there were more Asian POC households with fewer vehicles than
workers compared to Non-POC, but the difference with Non-Asian POC is
difficult to determine because of MOEs. In 2017/19 there were more
Non-POC with more vehicles than workers than the other racial groups,
but this difference decreased in 2021 - a difference that is looks
mostly because of the decrease for Non-POC since the other groups remain
similar over time.
Zero-vehicle households tend to make less money than households with at
least one vehicle, especially in 2021. The overlapping MOEs make it
difficult to determine any other changes between years, but the trends
seem similar. The number of the lowest income households with fewer
vehicles per worker decreased over time, seemingly because the number of
households without a vehicle increased.
In 2021, the number of household vehicles per workers seemed to change
for individuals with less education - increased in no vehicle
households, decrease in fewer vehicle than worker households, and
increase in one vehicle per worker households. There doesn’t seem to be
too much of a difference between years for the other educational
attainment levels. There may be a difference for individuals with
bachelors degrees or higher in households with more vehicles than
workers (decrease in 2021).
Would it be better to create 2 groups instead of 3? This would group the first two smaller categories together.
##
## 2017 2017_2019 2019 2021
## 1-High school or less 174 358 184 214
## 2-Technical or Associates 575 1142 567 478
## 3-Bachelor's or higher 2721 5206 2485 794
In 2021, for those living in RGCs, there was an increase in the zero
vehicle households and a decrease in the fewer vehicles than workers
households. The trends for those living outside of RGCs were similar
between years.
In 2021, there was an increase in public transit use for zero-vehicle
households. the zero vehicle households and a decrease in the fewer
vehicles than workers households. The trends for those living outside of
RGCs were similar between years.
Did the number of zero-vehicle households in RGCs increase in 2021?
No - based on the z-score (0.6792483), we cannot
conclude that the values are different and that there was a change over
time.
Did the number of fewer-vehicles-than-workers households in RGCs decrease in 2021?
Yes - based on the z-score (2.3420281), we can
conclude that the values are different and that there was a change over
time.
Because the survey provides the option for people to respond with the number of household vehicles up to 10, these categories have been simplified to 4 categories: 1, 2, 3+.